Advanced Data Science course for people with a good technical background (STEM). You will acquire an advanced level in Python, R and SQL as well as how to use machine learning and deep learning algorithms to create complex models.
In this 600-hour, 4-module course, you will learn Python, exploring fundamentals, syntax and data manipulation techniques. Modeling and machine learning with tools such as Class rebalancing, Scaling and Dummifying. And advanced techniques such as Cross-validation and Hyperparameter tuning. You will acquire solid fundamentals in R, addressing syntax and advanced modeling techniques such as Multiple Regression and Random Forest.
You will learn to analyze Time Series in R and improve forecasting techniques. You will expand your technical knowledge with Bagging, cascade models and complexity reduction techniques such as PCA. You will apply regularization techniques (L1 and L2) to avoid overfitting and you will discover the secrets of Stacking and Voting to take your models to the next level.
This data science and deep learning course is an advanced course for people with a solid STEM background who want a technical career in data science.
At Ubiqum, we offer you a practical and professional training in Data Science and Deep Learning. This course consists of 4 projects, with which you will acquire the skills and practical experience necessary for your first job.
In the first project, as a student you will work as a data analyst for a retail company. Your mission is to use data mining and machine learning techniques to investigate patterns in sales data and provide insights into customer buying trends and preferences. All this is executed using Python and SQL libraries for data extraction and manipulation.
In this first module you will acquire a first complete experience of a data analysis process. From the formulation of the business problem, the preparation of the dataset, the creation of a model using a machine learning algorithm, to the presentation of recommendations to the business.
In this second module of the data science and data analysis course you will have a different mission.
Your job as a Data Scientist will be to identify which customer attributes are significantly related to non-payment situations. You will be asked to build a predictive model that can be used to better classify customers compared to previously implemented models. Regression methods are used. Your work should be submitted as a Jupyter Notebook (Python tool) to your GitHub account.
In this third module you will work with a new challenge. Your goal will be to extend the application of data mining methods to develop predictive models and you will use R to achieve this.
In this course you will use machine learning methods to predict which brand of computer products customers prefer based on demographic data collected in a marketing survey. The ultimate goal is to be able to determine product associations that will be used to drive sales. As a student you will design and implement a recommendation system similar to those used by Amazon and other e-commerce companies.
In this advanced module, you will work for an IoT (Internet of things) technology startup that wants to use Data Analytics to solve two complex problems in the physical world. You will use the statistical programming language R to perform descriptive and predictive statistics and create models using time series regression techniques and statistical classifiers.
During the second case, you will return to Python to carry out a final project which consists in determining the physical position of a person in an interior space of several buildings by tracking their wifi fingerprint. These projects are highly complex and position the student at a high level as a Data Science professional.
Our methodology and organization of the data science tallows you to combine these elements at your best convenience and even change them during the course, if your personal situation requires it.
With a dedication of 8 hours a day from Monday to Friday. Our methodology learning by doing by projects allows you flexibility in the hours of dedication throughout the day. Organize your time at your convenience as long as you respect deadlines and personal meetings with your mentor. You are never alone. Your mentor is available for any questions you may have in addition to scheduled one-on-one meetings.
Designed for those people who want to keep their current job while preparing to change or improve their professional position. Three hours of daily dedication are estimated, from Monday to Friday, to work on the tasks of the course, with total flexibility of schedules, except for the personal meetings with the mentor that have a fixed calendar. You are never alone, your mentor is available whenever you need him/her, apart from the planned one to one meetings.
Working online from home and connected with your mentor by slack, email and videoconference. Ideal for part-time people who have to combine their professional life with the course. And for those who live in areas of the territory where there is no possibility of going to a physical campus.
Choose the combination that best suits your needs. Consult with our career advisors if you have any questions.
Our courses of Data science are organized on a project basis, designed by our product team, for educational purposes. They are 100% practical and professional.
Our methodology is innovative and very efficient.
All our students are testimonials of the high degree of learning they have acquired at Ubiqum.
Contact them and ask them
Does it sound good to you? Is it what you’re looking for to accelerate or transform your career? We’re not asking you to take a leap of faith. We’re offering you a two-week FREE TRIAL to give you first-hand experience before you commit to formal registration and payment for the course –here’s where your Data Analytics & Machine Learning specialist training begins!
“Boosting My Career” is the job search program, included in the course, with which we help our students to start their new digital career. Ubiqum’s courses provide deep and lasting learning that we complete with the activities necessary to access your new job.
Our work is not done until you start yours.
Personalized tutor
Flexible schedule
600 hours
If you pay in full before the start of the course, we offer you a discount and you get the best price. 5% for online and 10% for on-campus.
You pay 50% before the start of the course and the rest in monthly installments during the course. No additional cost.
This format allows you to pay in monthly installments.
Start the course now and pay when you start your new job.
(*) Qualifying conditions
*Requirements: | Between 22 and 35 years of age | Higher Education Degree (STEM is valued) | A good level of English | Stable residence in Spain | Work permit for the EU | A valid work permit for the EU | A good knowledge of English | A good level of English | A stable residence in Spain | A work permit for the EU
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